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Using the optimized gauge pressure found in Figure 9b, throat velocities found using ANSYS simulations and equation 4, the respective cavitation numbers were computed. 29 Table 2.1. Cavitation numbers for the ANSYS simulations T (K) 350 323 298 323 190 190 190 190 πτ° (Pa) 41.68 12.26 3.142 12.26 π (τ°τ°) τ° τ°τ° 1010.5 1010.5 1010.5 1010.5 π£ τ° ( τ°τ° ) πτ° (kPa) 136 161 161 81 298 190 3.142 1010.5 81 πΆτ° 0.0159 0.0136 0.0143 0.0536 0.0564 Based on the cavitation numbers computed it was identified the lowest cavitation number was at 323K with an inlet velocity of 4m/s. Though increase in temperature assisted in decreasing the cavitation number which is evidence for improvement in cavitation, with larger temperature increments the throat velocity seems to decrease and therefore the cavitation number was higher than that of an instance where the throat velocity was relatively higher. 2.4.8 Experimental design for optimized cavitation model using a venturi tube Based on the experimental setup using the needle valve it was proved that hydrodynamic cavitation has a direct relationship with graphene exfoliation. Using the computational data from the ANSYS simulation it was proved that increments in both temperature and flowrate has a direct relationship in increasing hydrodynamic cavitation; with flowrate acting as a larger contributing factor at minor increments in temperature. Since it is relatively difficult to controlPDF Image | Hydrodynamic cavitation exfoliation layered graphene nano
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